| 1 | #!/usr/bin/env python3 |
| 2 | |
| 3 | # -*- coding: utf-8 -*- |
| 4 | import pylab as pl |
| 5 | |
| 6 | from sklearn.datasets import load_iris |
| 7 | irisData = load_iris() |
| 8 | |
| 9 | X = irisData.data |
| 10 | Y = irisData.target |
| 11 | |
| 12 | colors = ["red", "green", "blue"] |
| 13 | |
| 14 | x = 0 |
| 15 | y = 1 |
| 16 | for i in range(3): |
| 17 | pl.scatter(X[Y == i][:, x], X[Y == i][:, y], color=colors[i], |
| 18 | label=irisData.target_names[i]) |
| 19 | pl.legend() |
| 20 | pl.xlabel(irisData.feature_names[x]) |
| 21 | pl.ylabel(irisData.feature_names[y]) |
| 22 | pl.title(u"Données Iris - dimension des sépales uniquement") |
| 23 | pl.show() |
| 24 | |
| 25 | x = 2 |
| 26 | y = 3 |
| 27 | for i in range(3): |
| 28 | pl.scatter(X[Y == i][:, x], X[Y == i][:, y], color=colors[i], |
| 29 | label=irisData.target_names[i]) |
| 30 | pl.legend() |
| 31 | pl.xlabel(irisData.feature_names[x]) |
| 32 | pl.ylabel(irisData.feature_names[y]) |
| 33 | pl.title(u"Données Iris - dimension des pétales uniquement") |
| 34 | pl.show() |
| 35 | |
| 36 | x = 0 |
| 37 | y = 3 |
| 38 | for i in range(3): |
| 39 | pl.scatter(X[Y == i][:, x], X[Y == i][:, y], color=colors[i], |
| 40 | label=irisData.target_names[i]) |
| 41 | pl.legend() |
| 42 | pl.xlabel(irisData.feature_names[x]) |
| 43 | pl.ylabel(irisData.feature_names[y]) |
| 44 | pl.title(u"Données Iris - dimension des sépales et pétales") |
| 45 | pl.show() |
| 46 | |
| 47 | x = 1 |
| 48 | y = 2 |
| 49 | for i in range(3): |
| 50 | pl.scatter(X[Y == i][:, x], X[Y == i][:, y], color=colors[i], |
| 51 | label=irisData.target_names[i]) |
| 52 | pl.legend() |
| 53 | pl.xlabel(irisData.feature_names[x]) |
| 54 | pl.ylabel(irisData.feature_names[y]) |
| 55 | pl.title(u"Données Iris - dimension des sépales et pétales") |
| 56 | pl.show() |
| 57 | |
| 58 | x = 0 |
| 59 | y = 2 |
| 60 | for i in range(3): |
| 61 | pl.scatter(X[Y == i][:, x], X[Y == i][:, y], color=colors[i], |
| 62 | label=irisData.target_names[i]) |
| 63 | pl.legend() |
| 64 | pl.xlabel(irisData.feature_names[x]) |
| 65 | pl.ylabel(irisData.feature_names[y]) |
| 66 | pl.title(u"Données Iris - dimension des sépales et pétales") |
| 67 | pl.show() |
| 68 | |
| 69 | x = 1 |
| 70 | y = 3 |
| 71 | for i in range(3): |
| 72 | pl.scatter(X[Y == i][:, x], X[Y == i][:, y], color=colors[i], |
| 73 | label=irisData.target_names[i]) |
| 74 | pl.legend() |
| 75 | pl.xlabel(irisData.feature_names[x]) |
| 76 | pl.ylabel(irisData.feature_names[y]) |
| 77 | pl.title(u"Données Iris - dimension des sépales et pétales") |
| 78 | pl.show() |